English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Background and Objective: The lack of benchmark datasets has impeded thedevelopment of slice-to-volume registration algorithms. Such datasets aredifficult to annotate, primarily due to the dimensional difference within dataand the dearth of task-specific software. We aim to develop a user-friendlytool to streamline dataset annotation for slice-to-volume registration.  Methods: The proposed tool, named SVRDA, is an installation-free webapplication for platform-agnostic collaborative dataset annotation. It enablesefficient transformation manipulation via keyboard shortcuts and smooth casetransitions with auto-saving. SVRDA supports configuration-based data loadingand adheres to the separation of concerns, offering great flexibility andextensibility for future research. Various supplementary features have beenimplemented to facilitate slice-to-volume registration.  Results: We validated the effectiveness of SVRDA by indirectly evaluating thepost-registration segmentation quality on UK Biobank data, observing a dramaticoverall improvement (24.02% in the Dice Similarity Coefficient and 48.93% inthe 95th percentile Hausdorff distance, respectively) supported by highlystatistically significant evidence ($p<0.001$).We further showcased theclinical usage of SVRDA by integrating it into test-retest T1 quantification onin-house magnetic resonance images, leading to more consistent results afterregistration.  Conclusions: SVRDA can facilitate collaborative annotation of benchmarkdatasets while being potentially applicable to other pipelines incorporatingslice-to-volume registration. Full source code and documentation are availableat https://github.com/Roldbach/SVRDA

SVRDA: A Web-based Dataset Annotation Tool for Slice-to-Volume Registration